Sökning: "Smart cities"
Visar resultat 16 - 20 av 50 avhandlingar innehållade orden Smart cities.
16. The reinforcement learning method : A feasible and sustainable control strategy for efficient occupant-centred building operation in smart cities
Sammanfattning : Over half of the world’s population lives in urban areas, a trend which is expected to only grow as we move further into the future. With this increasing trend in urbanisation, challenges are presented in the form of the management of urban infrastructure systems. LÄS MER
17. Self-Reliance for the Internet of Things: Blockchains and Deep Learning on Low-Power IoT Devices
Sammanfattning : The rise of the Internet of Things (IoT) has transformed common embedded devices from isolated objects to interconnected devices, allowing multiple applications for smart cities, smart logistics, and digital health, to name but a few. These Internet-enabled embedded devices have sensors and actuators interacting in the real world. LÄS MER
18. Decentralization in the electricity system: At the household, community and city levels
Sammanfattning : Recent years have seen a rise in the number of implementations of small-scale generation and storage technologies for electricity and heat at different levels in the energy system. This trend towards decentralization of the system is driven by rapid decrease in technology costs, as well as the intentions expressed by various stakeholders to contribute to a carbon-neutral energy system. LÄS MER
19. Client orchestration for the implementation of energy innovation in construction
Sammanfattning : This thesis aims to explore value creation from energy innovation in construction through implementation. The construction sector significantly impacts the environment. Buildings’ energy demand for heating and cooling accounts for 20% of annual global greenhouse gas emissions. LÄS MER
20. Together We Learn More : Algorithms and Applications for User-Centric Anomaly Detection
Sammanfattning : Anomaly detection is the problem of identifying data points or patterns that do not conform to normal behavior. Anomalies in data often correspond to important and actionable information such as frauds in financial applications, faults in production units, intrusions in computer systems, and serious diseases in patient records. LÄS MER